Avo CEO At DevRelCon Earth 2020: How To Improve Developer Productivity

Avo CEO At DevRelCon Earth 2020: How To Improve Developer Productivity

Stef Olafsdottir, Avo’s CEO, speaks about developer productivity at DevRelCon Earth 2020. For those who don’t know, DevRelCon is an event series for developer relations and experience for developers by developers.

Stef Olafsdottir, Avo’s CEO, speaks about developer productivity at DevRelCon Earth 2020.

For those who don’t know, DevRelCon is an event series for developer relations and experience for developers by developers. Normally hosted in London, San Francisco and Tokyo, Covid-19 made 2020 a global affair with all events hosted online.

We at Avo are on a mission making sure product teams aren’t constantly forced to choose between product delivery speed and data quality. We provide an easy-to-use interface to define and maintain your tracking plan (as in your taxonomy, data plan, event schema). You could say we’re in the business of efficiency, not just for developers but for product managers, data scientists, and everyone else working with developers on shipping products.

“Instrumentation used to take 1-4 days for every feature release and now takes 30-120 minutes.”

– Maura Church, Director of Data Science, Patreon

It sure is heartwarming and wonderful to hear feedback like this, and we could take their word for it, or we could do what’s in our DNA as data scientists and engineers: measure it. 

Keep reading to learn about our journey in taking a gut feeling, to qualitative customer testimonials, to learning how we now measure developer productivity through their own product measurements.

Measuring Developer Productivity Through Avo's Own Product Measurements

Stef Olafsdottir, CEO and Co-Founder of Avo, is a mathematician and philosopher, turned genetics researcher, turned data scientist, turned founder. She was the 1st data person and Head of Data Science at QuizUp, a mobile game with 100m users, where she built and led the data science division and culture. This included pioneering company-wide ways to prioritize product innovation. At QuizUp they built a culture where people had the tools, data literacy, and data reliability to ask and answer the right questions.

After QuizUp, she and a couple of friends started a company. Only 5 months in, they shipped a product update based on incorrect data. It was a frustrating misstep that helped her realize the importance of the tools and infrastructure they built at QuizUp to keep up data reliability. Furthermore, they wouldn’t afford taking the time to build the tools internally again. They would have to choose between data quality and velocity - for every single product release.

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